Decision intelligence (DI) is the human, organizational, or technological capabilities used to enable timely and effective decision-making. Broad organizational access to technologies used for DI leads to faster, more effective decision-making at scale.
DI gives nontechnical businesspeople easier access to data-driven insights. Access to those insights helps all professionals in business and technical roles improve their decision-making. This contrasts with common business analytics approaches, which rely on technical experts and often leave data-driven insights out of reach for the business.
Augmented analytics differentiates DI from traditional business analytics. Specifically, DI provides users with self-service capabilities to help them find the most relevant data and optimize their decision-making with augmented capabilities based on their unique preferences and goals. In this way, business professionals of all kinds can leverage the power of business analytics without data experts as intermediaries.
Decision intelligence represents the next evolutionary stage of business intelligence (BI), the traditional process of turning data into insights to help organizations make better business decisions. Traditional BI relies on data experts to curate these insights through their analytics processes. In contrast, decision intelligence makes analytics processes available to virtually anyone in an organization—even those without data expertise. In this way, DI “democratizes” data access.
A decision intelligence platform empowers people with augmented, automated, and collaborative insights that simplify and guide the use of data in decision-making.
DI platforms are purpose-built for organizations with significant data infrastructure investments that require broad capabilities for any number of roles within a modern enterprise. DI platforms are built for scale and can reduce the manual efforts required to configure data and analytics environments and workflows that are often heavily manual-based with BI tools and technologies. Specifically, DI platforms automate traditionally labor-intensive configuration tasks, freeing up human resources and expanding possibilities regarding who can achieve meaningful data access.
DI platforms often have more powerful analytics capabilities than traditional BI tools. Where traditional BI focuses on descriptive analytics, DI platforms use automation, augmentation, machine learning (ML), and artificial intelligence (AI) to help people explore and analyze data for more advanced functions and decision-making.
DI platforms also streamline data governance, which can be difficult at scale with traditional BI tools. Data leaders can provide anyone with direct access to critical data without getting involved in individual requests for data analysis. This makes it easier to provide for any analytics use case, now and in the future.
This “platform approach” to decision intelligence collectively supports DI at scale. Further, it eliminates the need to use different analytics tools, in other departments, with varying capabilities in terms of sophistication and access.
In principle, decision intelligence can unlock the strategic value of enterprise data for everyone in our modern workforce. Decision intelligence processes align insights from data with human decision-making in streamlined, practical, and flexible ways, redefining the purpose of business data.
In practice, DI platforms help businesspeople make more accurate predictions (i.e., predictive analytics), recommend specific actions (i.e., prescriptive analytics), and proactively collaborate and share their insights within a single intelligence environment.
DI platforms deliver these outcomes by integrating data preparation, data analytics, and data science into a single environment and automating many of these processes.
With decision intelligence, organizations can become more agile, collaborative, and data-driven because they can eliminate common pain points within traditional BI processes, such as data bottlenecks, data silos, and ill-informed decision-making. Here is a closer look at the organizational benefits DI can provide:
Pyramid Analytics provides organizations with the world’s leading decision intelligence platform, empowering users to optimize decision-making and derive critical insights from their data. Pyramid Analytics makes the democratization of data access more accessible, safer, and more practical, with powerful self-service features, collaboration tools, and data governance capabilities that maximize the value of organizations’ data assets.
Contact us today to learn more about how we can help your business with decision intelligence.